When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This can be done by normalizing to values between 0 and 1, or throwing away outliers. For this program, adjust the values by subtracting the smallest value from all the values. Input values should be added to the list until -1 is entered. Ex: If the input is:

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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22.4 LAB: Adjust list by normalizing - functions
When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This can be done by
normalizing to values between O and 1, or throwing away outliers. For this program, adjust the values by subtracting the smallest value from
all the values. Input values should be added to the list until -1 is entered.
Ex: If the input is:
30
50
10
70
65
-1
the output is:
20
40
60
55
Your program must define and call the function:
get_minimum_int(nums)
Transcribed Image Text:22.4 LAB: Adjust list by normalizing - functions When analyzing data sets, such as data for human heights or for human weights, a common step is to adjust the data. This can be done by normalizing to values between O and 1, or throwing away outliers. For this program, adjust the values by subtracting the smallest value from all the values. Input values should be added to the list until -1 is entered. Ex: If the input is: 30 50 10 70 65 -1 the output is: 20 40 60 55 Your program must define and call the function: get_minimum_int(nums)
main.py
Load default template...
1 def get minimum_int(nums):
#Type your code here.
2
4 if
#Type your code here.
name
main
':
==
5
Transcribed Image Text:main.py Load default template... 1 def get minimum_int(nums): #Type your code here. 2 4 if #Type your code here. name main ': == 5
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